This study comprehensively investigates the effects of annealing on the structural,electrochemical properties and passivation film characteristics of Ti_(20)Zr_(20)Hf_(20)Be_(20)Ni_(20)(at%)high-entropy metallic glass...This study comprehensively investigates the effects of annealing on the structural,electrochemical properties and passivation film characteristics of Ti_(20)Zr_(20)Hf_(20)Be_(20)Ni_(20)(at%)high-entropy metallic glass(HE-MG).Subjected to various annealing temperatures,the samples were analyzed in a 3.5 wt%NaCl solution to evaluate changes in their microstructure and assess their corrosion resistance.Findings reveal that the HE-MG undergoes multistage crystallization,displaying an amorphous matrix integrated with face centered cubic(FCC)and Ni_(7)Zr_(2)phases between 420 and 500℃,indicating robust thermal stability.Electrochemical assessments identify a critical temperature threshold:Below the glass transition temperature(Tg),the HE-MG maintains excellent corrosion resistance,promoting stable passivation layers.Above Tg,enhanced long-range atomic rearrangement during relaxation increases passivation layer defects and significantly diminishes corrosion resistance.X-ray photoelectron spectroscopy(XPS)analyses show that the primary components of the passivation layer are TiO_(2),ZrO_(2),HfO_(2)and BeO.Increased annealing temperatures lead to enhanced Be and Ni content and decreased Ti,Zr and Hf.Additionally,high mixing entropy and significant atomic size mismatch suppress long-range atomic rearrangement and crystallization.The crystallization begins above Tg by_(20)℃,with crystalline phases evenly distributed within the matrix without drastically affecting corrosion resistance.This investigation highlights the impact of thermal treatment on the properties of HE-MG,contributing valuable insights into optimizing their performance and applications.展开更多
Machine learning algorithms are widely used to interpret well logging data.To enhance the algorithms'robustness,shuffling the well logging data is an unavoidable feature engineering before training models.However,...Machine learning algorithms are widely used to interpret well logging data.To enhance the algorithms'robustness,shuffling the well logging data is an unavoidable feature engineering before training models.However,latent information stored between different well logging types and depth is destroyed during the shuffle.To investigate the influence of latent information,this study implements graph convolution networks(GCNs),long-short temporal memory models,recurrent neural networks,temporal convolution networks,and two artificial neural networks to predict the microbial lithology in the fourth member of the Dengying Formation,Moxi gas field,central Sichuan Basin.Results indicate that the GCN model outperforms other models.The accuracy,F1-score,and area under curve of the GCN model are 0.90,0.90,and 0.95,respectively.Experimental results indicate that the time-series data facilitates lithology prediction and helps determine lithological fluctuations in the vertical direction.All types of logs from the spectral in the GCN model and also facilitates lithology identification.Only on condition combined with latent information,the GCN model reaches excellent microbialite classification resolution at the centimeter scale.Ultimately,the two actual cases show tricks for using GCN models to predict potential microbialite in other formations and areas,proving that the GCN model can be adopted in the industry.展开更多
The possible exotic nuclear properties in the neutron-rich Ca,Ni,Zr,and Sn isotopes are examined with the continuum Skyrme Hartree-Fock-Bogoliubov theory in the framework of the Green’s function method.The pairing co...The possible exotic nuclear properties in the neutron-rich Ca,Ni,Zr,and Sn isotopes are examined with the continuum Skyrme Hartree-Fock-Bogoliubov theory in the framework of the Green’s function method.The pairing correlation,the couplings with the continuum,and the blocking effects for the unpaired nucleon in odd-A nuclei are properly treated.The Skyrme interaction SLy4 is adopted for the ph channel and the density-dependentinteraction is adopted for the pp chan-nel,which well reproduce the experimental two-neutron separation energies S_(2n)and one-neutron separation energies Sn.It is found that the criterion S_(n)>0 predicts a neutron drip line with neutron numbers much smaller than those for S_(2n)>0.Owing to the unpaired odd neutron,the neutron pairing energies−E_(pair)in odd-A nuclei are much lower than those in the neighbor-ing even-even nuclei.By investigating the single-particle structures,the possible halo structures in the neutron-rich Ca,Ni,and Sn isotopes are predicted,where sharp increases in the root-mean-square(rms)radii with significant deviations from the traditional rA^(1∕3)rule and diffuse spatial density distributions are observed.Analyzing the contributions of various partial waves to the total neutron densityρlj(r)∕ρ(r)reveals that the orbitals located around the Fermi surface-particularly those with small angular momenta-significantly affect the extended nuclear density and large rms radii.The number of neutrons Nλ(N_(0))occupying above the Fermi surfacen(continuum threshold)is discussed,whose evolution as a function of the mass number A in each isotope is consistent with that of the pairing energy,supporting the key role of the pairing correlation in halo phenomena.展开更多
Recent advances in hydrocarbon exploration have been made in the Member Deng-2 marginal microbial mound-bank complex reservoirs of the Dengying Formation in the western Sichuan Basin, SW China,where the depositional p...Recent advances in hydrocarbon exploration have been made in the Member Deng-2 marginal microbial mound-bank complex reservoirs of the Dengying Formation in the western Sichuan Basin, SW China,where the depositional process is regarded confusing. The microfacies, construction types, and depositional model of the Member Deng-2 marginal microbial mound-bank complex have been investigated using unmanned aerial vehicle photography, outcrop section investigation, thin section identification,and seismic reflections in the southwestern Sichuan Basin. The microbialite lithologic textures in this region include thrombolite, dendrolite, stromatolite, fenestral stromatolite, spongiostromata stone,oncolite, aggregated grainstone, and botryoidal grapestone. Based on the comprehensive analysis of“depositional fabrics-lithology-microfacies”, an association between a fore mound, mound framework,and back mound subfacies has been proposed based on water depth, current direction, energy level and lithologic assemblages. The microfacies of the mound base, mound core, mound flank, mound cap, and mound flat could be recognized among the mound framework subfacies. Two construction types of marginal microbial mound-bank complex have been determined based on deposition location, mound scale, migration direction, and sedimentary facies association. Type Jinkouhe microbial mound constructions(TJMMCs) develop along the windward margin owing to their proximity to the seaward subfacies fore mound, with a northeastwardly migrated microbial mound on top of the mud mound,exhibiting the characteristics of large-sized mounds and small-sized banks in the surrounding area. Type E'bian microbial mound constructions(TEMMCs) primarily occur on the leeward margin, resulting from the presence of onshore back mound subfacies, with the smaller southwestward migrated microbial mounds existing on a thicker microbial flat. The platform margin microbial mound depositional model can be correlated with certain lateral comparison profile and seismic reflection structures in the 2D seismic section, which can provide references for future worldwide exploration. Microbial mounds with larger buildups and thicker vertical reservoirs are typically targeted on the windward margin, while small-sized microbial mounds and flats with better lateral connections are typically focused on the leeward margin.展开更多
Owing to the rapid development of modern computer technologies,artificial intelligence(AI)has emerged as an essential instrument for intelligent analysis across a range of fields.AI has been proven to be highly effect...Owing to the rapid development of modern computer technologies,artificial intelligence(AI)has emerged as an essential instrument for intelligent analysis across a range of fields.AI has been proven to be highly effective in ophthalmology,where it is frequently used for identifying,diagnosing,and typing retinal diseases.An increasing number of researchers have begun to comprehensively map patients’retinal diseases using AI,which has made individualized clinical prediction and treatment possible.These include prognostic improvement,risk prediction,progression assessment,and interventional therapies for retinal diseases.Researchers have used a range of input data methods to increase the accuracy and dependability of the results,including the use of tabular,textual,or image-based input data.They also combined the analyses of multiple types of input data.To give ophthalmologists access to precise,individualized,and high-quality treatment strategies that will further optimize treatment outcomes,this review summarizes the latest findings in AI research related to the prediction and guidance of clinical diagnosis and treatment of retinal diseases.展开更多
Dear Editor,Retinal capillary hemangioma(RCH)is a benign vascular tumor that poses significant challenges due to its potential to cause vision impairment and retinal detachment(RD).We present a comprehensive case repo...Dear Editor,Retinal capillary hemangioma(RCH)is a benign vascular tumor that poses significant challenges due to its potential to cause vision impairment and retinal detachment(RD).We present a comprehensive case report of a largediameter RCH treated with vitreous surgery,underscoring the importance of selecting appropriate treatment strategies based on the individual characteristics of RCH patients to minimize their impact on vision and future well-being.展开更多
Dear Editor,Diabetic retinopathy(DR)remains a leading cause of irreversible blindness in adults worldwide(Sabanayagam et al.,2019).Increasing evidence suggests that visual deficits are closely associated with neurodeg...Dear Editor,Diabetic retinopathy(DR)remains a leading cause of irreversible blindness in adults worldwide(Sabanayagam et al.,2019).Increasing evidence suggests that visual deficits are closely associated with neurodegeneration,especially the synaptic loss and degeneration of retinal ganglion cells(RGCs)(Kern and Barber,2008).Neurotrophic factors play a key role in supporting the survival of RGCs(Kimura et al.,2016)and brain-derived neurotrophic factor(BDNF)stands out as a crucial neurotrophin vital for RGCs(Kimura et al.,2016).In vivo studies have demonstrated that intravitreal administration of BDNF enhances the survival of axotomized RGCs in rats,and astrocytes designed to secrete BDNF promote RGC survival in vitro(Castillo et al.,1994).展开更多
Dear Editor,R-spondin3(RSPO3)is essential for vascular development and angiogenesis.Analyzing RSPO3-knockout embryos revealed severe vascular defects in the placenta(Aoki et al.2007).In both Xenopus and murine embryos...Dear Editor,R-spondin3(RSPO3)is essential for vascular development and angiogenesis.Analyzing RSPO3-knockout embryos revealed severe vascular defects in the placenta(Aoki et al.2007).In both Xenopus and murine embryos,RSPO3 KO led to significant vascular defects(Kazanskaya et al.2008)and embryonic death(Kazanskaya et al.2008).In the placenta,RSPO3 could promote vascular endothelial growth factor(VEGF)expression(Kazanskaya et al.2008).RSPO3 is a ligand of low-density lipoprotein receptor-related protein 6(LRP6)and leucine-rich repeat G protein-coupled receptor 4(LGR4)to form a multiple ligands-receptors-cluster with Wnt and frizzled(FzD),thereby activating and amplifying downstreamβ-catenin signaling(in and Yoon 2012;Tocci et al.2020).展开更多
基金supported by the National Key R&D Program of China(No.2021YFE0100600)the National Natural Science Foundation of China(No.52371154)+2 种基金Guangdong Basic and Applied Basic Research Foundation(No.2023A1515012158)the Opening Project of the Key Laboratory of CNC Equipment Reliability,Ministry of Education,Jilin University(No.JLU-cncr-202307)the Knowledge Innovation Program of Wuhan-Basic Research(No.2022010801010087).
文摘This study comprehensively investigates the effects of annealing on the structural,electrochemical properties and passivation film characteristics of Ti_(20)Zr_(20)Hf_(20)Be_(20)Ni_(20)(at%)high-entropy metallic glass(HE-MG).Subjected to various annealing temperatures,the samples were analyzed in a 3.5 wt%NaCl solution to evaluate changes in their microstructure and assess their corrosion resistance.Findings reveal that the HE-MG undergoes multistage crystallization,displaying an amorphous matrix integrated with face centered cubic(FCC)and Ni_(7)Zr_(2)phases between 420 and 500℃,indicating robust thermal stability.Electrochemical assessments identify a critical temperature threshold:Below the glass transition temperature(Tg),the HE-MG maintains excellent corrosion resistance,promoting stable passivation layers.Above Tg,enhanced long-range atomic rearrangement during relaxation increases passivation layer defects and significantly diminishes corrosion resistance.X-ray photoelectron spectroscopy(XPS)analyses show that the primary components of the passivation layer are TiO_(2),ZrO_(2),HfO_(2)and BeO.Increased annealing temperatures lead to enhanced Be and Ni content and decreased Ti,Zr and Hf.Additionally,high mixing entropy and significant atomic size mismatch suppress long-range atomic rearrangement and crystallization.The crystallization begins above Tg by_(20)℃,with crystalline phases evenly distributed within the matrix without drastically affecting corrosion resistance.This investigation highlights the impact of thermal treatment on the properties of HE-MG,contributing valuable insights into optimizing their performance and applications.
基金supported by National Natural Science Foundation of China(Nos.41872150,U2344209 and U19B6003)the PetroChina Southwest Oil and Gasfield Company(No.2020-54365)。
文摘Machine learning algorithms are widely used to interpret well logging data.To enhance the algorithms'robustness,shuffling the well logging data is an unavoidable feature engineering before training models.However,latent information stored between different well logging types and depth is destroyed during the shuffle.To investigate the influence of latent information,this study implements graph convolution networks(GCNs),long-short temporal memory models,recurrent neural networks,temporal convolution networks,and two artificial neural networks to predict the microbial lithology in the fourth member of the Dengying Formation,Moxi gas field,central Sichuan Basin.Results indicate that the GCN model outperforms other models.The accuracy,F1-score,and area under curve of the GCN model are 0.90,0.90,and 0.95,respectively.Experimental results indicate that the time-series data facilitates lithology prediction and helps determine lithological fluctuations in the vertical direction.All types of logs from the spectral in the GCN model and also facilitates lithology identification.Only on condition combined with latent information,the GCN model reaches excellent microbialite classification resolution at the centimeter scale.Ultimately,the two actual cases show tricks for using GCN models to predict potential microbialite in other formations and areas,proving that the GCN model can be adopted in the industry.
基金the National Natural Science Foundation of China(No.U2032141)the Open Project of Guangxi Key Laboratory of Nuclear Physics and Nuclear Technology(No.NLK2022-02)+4 种基金the Central Government Guidance Funds for Local Scientific and Technological Development,China(Guike ZY22096024)the Natural Science Foundation of Henan Province(No.202300410479)the Guizhou Provincial Science and Technology Projects(No.ZK[2022]203)the Foundation of Fundamental Research for Young Teachers of Zhengzhou University(No.JC202041041)the Physics Research and Development Program of Zhengzhou University(No.32410217).
文摘The possible exotic nuclear properties in the neutron-rich Ca,Ni,Zr,and Sn isotopes are examined with the continuum Skyrme Hartree-Fock-Bogoliubov theory in the framework of the Green’s function method.The pairing correlation,the couplings with the continuum,and the blocking effects for the unpaired nucleon in odd-A nuclei are properly treated.The Skyrme interaction SLy4 is adopted for the ph channel and the density-dependentinteraction is adopted for the pp chan-nel,which well reproduce the experimental two-neutron separation energies S_(2n)and one-neutron separation energies Sn.It is found that the criterion S_(n)>0 predicts a neutron drip line with neutron numbers much smaller than those for S_(2n)>0.Owing to the unpaired odd neutron,the neutron pairing energies−E_(pair)in odd-A nuclei are much lower than those in the neighbor-ing even-even nuclei.By investigating the single-particle structures,the possible halo structures in the neutron-rich Ca,Ni,and Sn isotopes are predicted,where sharp increases in the root-mean-square(rms)radii with significant deviations from the traditional rA^(1∕3)rule and diffuse spatial density distributions are observed.Analyzing the contributions of various partial waves to the total neutron densityρlj(r)∕ρ(r)reveals that the orbitals located around the Fermi surface-particularly those with small angular momenta-significantly affect the extended nuclear density and large rms radii.The number of neutrons Nλ(N_(0))occupying above the Fermi surfacen(continuum threshold)is discussed,whose evolution as a function of the mass number A in each isotope is consistent with that of the pairing energy,supporting the key role of the pairing correlation in halo phenomena.
基金jointly funded by projects supported by the National Natural Science Foundation of China(Grant No.41872150)the Joint Funds of the National Natural Science Foundation of China(Grant No.U19B6003)Major Scientific and Technological Projects of CNPC during the 13th five-year plan(No.2019A-02-10)。
文摘Recent advances in hydrocarbon exploration have been made in the Member Deng-2 marginal microbial mound-bank complex reservoirs of the Dengying Formation in the western Sichuan Basin, SW China,where the depositional process is regarded confusing. The microfacies, construction types, and depositional model of the Member Deng-2 marginal microbial mound-bank complex have been investigated using unmanned aerial vehicle photography, outcrop section investigation, thin section identification,and seismic reflections in the southwestern Sichuan Basin. The microbialite lithologic textures in this region include thrombolite, dendrolite, stromatolite, fenestral stromatolite, spongiostromata stone,oncolite, aggregated grainstone, and botryoidal grapestone. Based on the comprehensive analysis of“depositional fabrics-lithology-microfacies”, an association between a fore mound, mound framework,and back mound subfacies has been proposed based on water depth, current direction, energy level and lithologic assemblages. The microfacies of the mound base, mound core, mound flank, mound cap, and mound flat could be recognized among the mound framework subfacies. Two construction types of marginal microbial mound-bank complex have been determined based on deposition location, mound scale, migration direction, and sedimentary facies association. Type Jinkouhe microbial mound constructions(TJMMCs) develop along the windward margin owing to their proximity to the seaward subfacies fore mound, with a northeastwardly migrated microbial mound on top of the mud mound,exhibiting the characteristics of large-sized mounds and small-sized banks in the surrounding area. Type E'bian microbial mound constructions(TEMMCs) primarily occur on the leeward margin, resulting from the presence of onshore back mound subfacies, with the smaller southwestward migrated microbial mounds existing on a thicker microbial flat. The platform margin microbial mound depositional model can be correlated with certain lateral comparison profile and seismic reflection structures in the 2D seismic section, which can provide references for future worldwide exploration. Microbial mounds with larger buildups and thicker vertical reservoirs are typically targeted on the windward margin, while small-sized microbial mounds and flats with better lateral connections are typically focused on the leeward margin.
基金Supported by the National Natural Science Foundation of China (No.82171080)Nanjing Health Science and Technology Development Special Fund (No.YKK23264).
文摘Owing to the rapid development of modern computer technologies,artificial intelligence(AI)has emerged as an essential instrument for intelligent analysis across a range of fields.AI has been proven to be highly effective in ophthalmology,where it is frequently used for identifying,diagnosing,and typing retinal diseases.An increasing number of researchers have begun to comprehensively map patients’retinal diseases using AI,which has made individualized clinical prediction and treatment possible.These include prognostic improvement,risk prediction,progression assessment,and interventional therapies for retinal diseases.Researchers have used a range of input data methods to increase the accuracy and dependability of the results,including the use of tabular,textual,or image-based input data.They also combined the analyses of multiple types of input data.To give ophthalmologists access to precise,individualized,and high-quality treatment strategies that will further optimize treatment outcomes,this review summarizes the latest findings in AI research related to the prediction and guidance of clinical diagnosis and treatment of retinal diseases.
基金Supported by the Nanjing Science and Technology Development General Project(No.YKK23264).
文摘Dear Editor,Retinal capillary hemangioma(RCH)is a benign vascular tumor that poses significant challenges due to its potential to cause vision impairment and retinal detachment(RD).We present a comprehensive case report of a largediameter RCH treated with vitreous surgery,underscoring the importance of selecting appropriate treatment strategies based on the individual characteristics of RCH patients to minimize their impact on vision and future well-being.
基金supported by the National Natural Science Foundation of China (81922025, 82371473, 82171080, 81970823, 82171461, 81771457, 82271107)by Jiangsu Province Social Development Project (BE2023702)funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions
文摘Dear Editor,Diabetic retinopathy(DR)remains a leading cause of irreversible blindness in adults worldwide(Sabanayagam et al.,2019).Increasing evidence suggests that visual deficits are closely associated with neurodegeneration,especially the synaptic loss and degeneration of retinal ganglion cells(RGCs)(Kern and Barber,2008).Neurotrophic factors play a key role in supporting the survival of RGCs(Kimura et al.,2016)and brain-derived neurotrophic factor(BDNF)stands out as a crucial neurotrophin vital for RGCs(Kimura et al.,2016).In vivo studies have demonstrated that intravitreal administration of BDNF enhances the survival of axotomized RGCs in rats,and astrocytes designed to secrete BDNF promote RGC survival in vitro(Castillo et al.,1994).
基金supported by Key Research and Development Program of Jiangsu Province(No.BE2019652)National Natural Science Foundation of China(81922025,81974388,82171461,81771457).
文摘Dear Editor,R-spondin3(RSPO3)is essential for vascular development and angiogenesis.Analyzing RSPO3-knockout embryos revealed severe vascular defects in the placenta(Aoki et al.2007).In both Xenopus and murine embryos,RSPO3 KO led to significant vascular defects(Kazanskaya et al.2008)and embryonic death(Kazanskaya et al.2008).In the placenta,RSPO3 could promote vascular endothelial growth factor(VEGF)expression(Kazanskaya et al.2008).RSPO3 is a ligand of low-density lipoprotein receptor-related protein 6(LRP6)and leucine-rich repeat G protein-coupled receptor 4(LGR4)to form a multiple ligands-receptors-cluster with Wnt and frizzled(FzD),thereby activating and amplifying downstreamβ-catenin signaling(in and Yoon 2012;Tocci et al.2020).
